Stochastic Differential Equations Tutorial-- spring semester 2017


This page is about the practice class (tutorial) given by Imre Péter Tóth.
For the main page of the course, see http://math.bme.hu/~balint/oktatas/sde/

Results of the homeworks AND THE EXAMS here.

QUESTIONS AND ANSWERS sessions before the first exams:

PROBLEM SETS, HOMEWORK ASSIGNMENTS:
Problem sheetsHomework assignmentsDue dateSolutions
1. Brownian motion 1.1, 1.2, 1.5, 1.13 16 Feb
(An error in Ex. 1.15 corrected - sorry) 1.6, 1.12, 1.14, 1.15 02 Mar solutions
2. Martingales 2.4, 2.5, 2.6, 2.7 09 Mar solutions
3. Ito calculus 3.1, 3.2, 3.3, 3.4 16 Mar
3.5, 3.7, 3.10, 3.12 30 Mar solutions
4. Stochastic differential equations 4.2, 4.3, 4.4, 4.5 06 Apr solutions
5. Diffusions 5.1, 5.3, 5.6 delayed solutions
6. Semigroups, Hille-Yosida, Feynman-Kac CANCELLED CANCELLED solutions don't exist yet
7. Girsanov’s formula 7.2, 7.3, 7.4 11 May solutions


Rules for evaluating the homeworks:

Signature: To get the signature, at most 30% of the assigned homeworks can be missed. Since there were 30 exercises, this means that at most 9 can be missed. In other words, the signature will be given to those who SUBMITTED solutions to at least 21 homework exercises - regardless of the score for these submissions.

Final grade: The homeworks are counted into the final grade with 20% weight. For this purpose, the solutions submitted to each exercise are first evaluated with the following code: In the end, these codes are translated into scores using the following rule: So the maximum possible homework score is 30, and the score actually reached will me viewed as a percentage of this.